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Social Network Analysis for Startups de Maksim Tsvetovat

Social Network Analysis for Startups

Autor Maksim Tsvetovat, Alexander Kouznetsov
en Limba Engleză Paperback – 8 noi 2011
SNA techniques are derived from sociological and social-psychological theories and take into account the whole network (or, in case of very large networks such as Twitter -- a large segment of the network).
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Specificații

ISBN-13: 9781449306465
ISBN-10: 1449306462
Pagini: 188
Ilustrații: Illustrations
Dimensiuni: 179 x 239 x 15 mm
Greutate: 0.32 kg
Editura: O'Reilly

Cuprins

Preface; Prerequisites; Open-Source Tools; Conventions Used in This Book; Using Code Examples; Safari® Books Online; How to Contact Us; Content Updates; Thanks; Chapter 1: Introduction; 1.1 Analyzing Relationships to Understand People and Groups; 1.2 From Relationships to Networks-More Than Meets the Eye; 1.3 Social Networks vs. Link Analysis; 1.4 The Power of Informal Networks; 1.5 Terrorists and Revolutionaries: The Power of Social Networks; Chapter 2: Graph Theory-A Quick Introduction; 2.1 What Is a Graph?; 2.2 Graph Traversals and Distances; 2.3 Graph Distance; 2.4 Why This Matters; 2.5 6 Degrees of Separation is a Myth!; 2.6 Small World Networks; Chapter 3: Centrality, Power, and Bottlenecks; 3.1 Sample Data: The Russians are Coming!; 3.2 Centrality; 3.3 What Can't Centrality Metrics Tell Us?; Chapter 4: Cliques, Clusters and Components; 4.1 Components and Subgraphs; 4.2 Subgraphs-Ego Networks; 4.3 Triads; 4.4 Cliques; 4.5 Hierarchical Clustering; 4.6 Triads, Network Density, and Conflict; Chapter 5: 2-Mode Networks; 5.1 Does Campaign Finance Influence Elections?; 5.2 Theory of 2-Mode Networks; 5.3 Expanding Multimode Networks; Chapter 6: Going Viral! Information Diffusion; 6.1 Anatomy of a Viral Video; 6.2 How Does Information Shape Networks (and Vice Versa)?; 6.3 A Simple Dynamic Model in Python; 6.4 Coevolution of Networks and Information; Chapter 7: Graph Data in the Real World; 7.1 Medium Data: The Tradition; 7.2 Big Data: The Future, Starting Today; 7.3 "Small Data"-Flat File Representations; 7.4 "Medium Data": Database Representation; 7.5 Working with 2-Mode Data; 7.6 Social Networks and Big Data; 7.7 Big Data at Work; Data Collection; A Note on the Ethics of Data Collection; The Old-Fashioned Way; Mining Server Logs; Mining Social Media Sites; Twitter Data Collection; Facebook; Installing Software; Why (We Love) Python?; Exploratory Programming; Python; IPython; NetworkX; matplotlib;